About | BasicInf2

About the course

The course is focused on statistical inference at a basic level and was developed at an undergraduate level in statistics. Only very basic level knowledge of statistics and R is required at the beginning of the course. The courses were developed for both non statisticians and statisticians. The course consists of three-four classes and can be used as a complete introduction course for statistical inference and can be used as a course to support R usage in undergraduate program in biostatistic/statistics as well. We provide two sets of classes. The first set was developed by the >eR-BioStat team while the second set was developed by Vu & Harrington (https://www.openintro.org/book/biostat/).

The following topics are discussed in the course:

Basic concepts of inference: one population:

This part of the course discuss the topics of sampling from population, parameters and parameter estimates confidence intervals for the mean and inference about the population mean. The focus of this part of the course is a setting with one population and continuous variables.

Inference for two populations: continuous variables:

This part of the course extends the basic setting of the previous class to the setting of two populations. Two sample t test for independent samples and paired t test are discussed. Confidence intervals for the mean difference are discussed as well.

Inference for categorical variables: one & two populations:

The third part of the course is focus on binary and categorical data and covers the topics of estimation and inference about the proportion of one population and two populations.

General information about the course materials

Course materials include

Slides (in PDF) and source files to produce the slides (PP & Rmd).
R program for the examples presented in the course.
Datasets that are used for illustrations (either R datasets or external datasets).
YouTube tutorials and online tutorials. Note that these tutorials were not developed especially for this course but they cover the same topics, usually with different examples.

As a student in the course, you can choose between two study methods:

If you prefer the traditional slides approach, you can click on the button Topics. This will take you to a page with 3 chapters that cover all topics in the course. Each chapter has its own slides presentation and an R program contains all the examples used in the course and presented in the slides is available as well.

If you prefer a more interactive study style, clink on the button Online materails that will take you to the page with online YouTube tutorials and online tutorials.